Visible Systems Blog

Updated on 4/20/2021

Businesses are focusing their efforts on becoming more data driven. Research done by the McKinsey Global Institute indicate that data driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result. Adi Gaskell, Forbes

In the past few years, the data steward position has become a necessity for businesses. With the growing increase of technology, it is crucial for businesses to have the right infrastructure to manage, protect, and store vast amounts of data.

One critical success factor is to think about data in terms of its life cycle. What life cycle? Well, let's think about a data life cycle as having the following:

1. Collection
2. Storage
3. Analysis
4. Transfer
5. Retention

We'd be interested in hearing from you about what your data life cycle looks like and how it compares. Additionally, if you are interested in learning more about the data life cycle and how to manage sensitive data throughout its life cycle then please provide us with the information below. We will send you our E-Book on "Personal and Sensitive Data Governance and Security".

Updated on 4/20/2021

To be a successful data analyst, you don't need to learn a programming language.

1. Create a data analysis plan.

Does the thought of data analysis overwhelm you? If so, you are not alone. 62% of marketers feel overwhelmed by the amount of data that they have, showing that this is a common problem. One solution to this problem is to create a data analysis plan. As stated in A Structured Approach to Data Analysis, a data analysis plan can help you to organize your thoughts on how you will conduct your analysis.

2. Get a handle on change and how it impacts your business.

In today's society, change occurs at a rapid pace. Typically, mid- to large-sized organization manage up to 20 different data
sources; many manage hundreds (or thousands) of sources.
Data catalogs are one way to help manage an increasingly complex data landscape. Data catalogs typically contain metadata about your business and its data.

We'd like to hear from you about your experiences by adding one or more points to what we have here.

Please provide us with your input below and we will send you our E-Book "Visible Self Service Data Discovery".

See how Visible Systems Corporation has integrated the data catalog with its powerful repository features to provide a unique data discovery experience.